pytorch_all_l AMD Ryzen 9 5900X 12-Core testing with a ASUS TUF GAMING B550M-PLUS (WI-FI) (1801 BIOS) and MSI NVIDIA GeForce RTX 3080 10GB on Ubuntu 22.04 via the Phoronix Test Suite.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2312292-NE-PYTORCHAL51 pytorch_all Processor: AMD Ryzen 9 5900X 12-Core @ 3.70GHz (12 Cores / 24 Threads), Motherboard: ASUS TUF GAMING B550M-PLUS (WI-FI) (1801 BIOS), Chipset: AMD Starship/Matisse, Memory: 4 x 16 GB DDR4-2666MT/s CRUCIAL, Disk: 1000GB Western Digital WDS100T2B0C-00PXH0, Graphics: MSI NVIDIA GeForce RTX 3080 10GB, Audio: NVIDIA GA102 HD Audio, Monitor: LG TV, Network: Realtek RTL8125 2.5GbE + Intel Wi-Fi 6 AX200
OS: Ubuntu 22.04, Kernel: 6.2.0-39-generic (x86_64), Desktop: GNOME Shell 42.9, Display Server: X Server 1.21.1.4, Display Driver: NVIDIA 535.129.03, OpenGL: 4.6.0, OpenCL: OpenCL 3.0 CUDA 12.2.147, Vulkan: 1.3.242, Compiler: GCC 11.4.0 + CUDA 11.5, File-System: ext4, Screen Resolution: 5120x2880
Kernel Notes: Transparent Huge Pages: madviseProcessor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa201009Python Notes: Python 3.10.12Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of safe RET no microcode + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
PyTorch OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-50 pytorch_all 9 18 27 36 45 SE +/- 0.26, N = 3 37.37 MIN: 31.52 / MAX: 38.8
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-152 pytorch_all 4 8 12 16 20 SE +/- 0.12, N = 9 14.45 MIN: 13.01 / MAX: 15.49
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: ResNet-50 pytorch_all 6 12 18 24 30 SE +/- 0.45, N = 15 26.65 MIN: 20.59 / MAX: 29.47
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: ResNet-50 pytorch_all 6 12 18 24 30 SE +/- 0.42, N = 15 26.78 MIN: 20.17 / MAX: 28.27
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 64 - Model: ResNet-50 pytorch_all 6 12 18 24 30 SE +/- 0.59, N = 15 26.21 MIN: 19.72 / MAX: 29.44
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: ResNet-152 pytorch_all 3 6 9 12 15 SE +/- 0.04, N = 3 11.13 MIN: 10.87 / MAX: 11.26
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 256 - Model: ResNet-50 pytorch_all 6 12 18 24 30 SE +/- 0.24, N = 3 23.33 MIN: 19.48 / MAX: 24.45
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: ResNet-152 pytorch_all 3 6 9 12 15 SE +/- 0.05, N = 3 11.16 MIN: 9.15 / MAX: 11.32
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 512 - Model: ResNet-50 pytorch_all 6 12 18 24 30 SE +/- 0.52, N = 15 26.35 MIN: 19.72 / MAX: 28.69
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 64 - Model: ResNet-152 pytorch_all 3 6 9 12 15 SE +/- 0.03, N = 3 11.10 MIN: 10.21 / MAX: 11.22
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 256 - Model: ResNet-152 pytorch_all 3 6 9 12 15 SE +/- 0.13, N = 3 11.24 MIN: 9.07 / MAX: 11.69
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 512 - Model: ResNet-152 pytorch_all 3 6 9 12 15 SE +/- 0.03, N = 3 11.08 MIN: 10.89 / MAX: 11.21
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l pytorch_all 3 6 9 12 15 SE +/- 0.02, N = 3 9.21 MIN: 8.59 / MAX: 9.29
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l pytorch_all 2 4 6 8 10 SE +/- 0.01, N = 3 6.50 MIN: 6.4 / MAX: 6.56
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l pytorch_all 2 4 6 8 10 SE +/- 0.01, N = 3 6.50 MIN: 6.23 / MAX: 6.56
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l pytorch_all 2 4 6 8 10 SE +/- 0.02, N = 3 6.48 MIN: 6.23 / MAX: 6.56
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l pytorch_all 2 4 6 8 10 SE +/- 0.05, N = 3 6.57 MIN: 5.81 / MAX: 6.71
OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_l pytorch_all 2 4 6 8 10 SE +/- 0.03, N = 3 6.53 MIN: 5.82 / MAX: 6.94
pytorch_all Processor: AMD Ryzen 9 5900X 12-Core @ 3.70GHz (12 Cores / 24 Threads), Motherboard: ASUS TUF GAMING B550M-PLUS (WI-FI) (1801 BIOS), Chipset: AMD Starship/Matisse, Memory: 4 x 16 GB DDR4-2666MT/s CRUCIAL, Disk: 1000GB Western Digital WDS100T2B0C-00PXH0, Graphics: MSI NVIDIA GeForce RTX 3080 10GB, Audio: NVIDIA GA102 HD Audio, Monitor: LG TV, Network: Realtek RTL8125 2.5GbE + Intel Wi-Fi 6 AX200
OS: Ubuntu 22.04, Kernel: 6.2.0-39-generic (x86_64), Desktop: GNOME Shell 42.9, Display Server: X Server 1.21.1.4, Display Driver: NVIDIA 535.129.03, OpenGL: 4.6.0, OpenCL: OpenCL 3.0 CUDA 12.2.147, Vulkan: 1.3.242, Compiler: GCC 11.4.0 + CUDA 11.5, File-System: ext4, Screen Resolution: 5120x2880
Kernel Notes: Transparent Huge Pages: madviseProcessor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa201009Python Notes: Python 3.10.12Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of safe RET no microcode + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 29 December 2023 16:09 by user root.